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基于物元分析法的将乐国有林场用材林质量评价研究 被引量:13

Evaluaton of the Quality of Timber Forest in Jiangle State-owned Forest Farm Based on Matter-element Analysis
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摘要 用材林既是我国木材供给的重要来源,又发挥着多功能效益,对其进行质量评价研究,这对科学经营森林具有重要现实意义。以将乐县国有林场用材林为评价对象,基于2012年森林资源二类调查数据,综合考虑森林生产力、森林结构和立地条件等3方面因素,建立了用材林质量综合评价指标体系。将层次分析法与熵权法相结合得到各指标的权重,引入能解决不相容问题的物元分析法进行综合评价。研究结果表明:1)物元分析法能够较准确地评价森林资源的质量,将乐国有林场用材林的质量为"Ⅱ级",并且有向"Ⅲ级"转化的趋势,与前人的研究结果基本一致; 2)郁闭度0. 40~0. 69林分面积的比例(C5)、平均树高(C2)和混交林面积比例(C6)等3个指标质量一般,需重点关注。 Timber forest is not only an important source of timber supply in China,but also provide multi-functional benefits.Research on quality evaluation is important for forest management.In order to evaluate the quality of timber forest in Jiangle state-owned forest farm,a comprehensive evaluation index system including forest productivity,forest structure and site conditions was established based on the survey data of forest resources in 2012.The weight of each index was determined by combining Analytic Hierarchy Process and entropy weight method.The matter-element analysis for incompatibility problem was used for comprehensive evaluation.The results showed that:(1)The matter-element analysis method could accurately evaluate the quality of forest resources,and the quality of timber forests in Jiangle state-owned forest farm was“II”and there was a trend of transition to“III”,which is basically consistent with the results of previous studies;(2)The forests with canopy density in 0.40~0.69(C5),average tree height(C2)and mixed forest area ratio(C6)are of general quality and require special attention.
作者 陈华 林华忠 靳爱仙 孙玉军 CHEN Hua;LIN Huazhong;JIN Aixian;SUN Yujun(State Forestry Administration Key Laboratory of Forest Resources&Environmental Management,Beijing Forestry University,Beijing 100083,China;Jiangle National Forest Farm,Jiangle,Fujian 353500,China;National Forestry and Grassland Administration,Beijing 100714,China)
出处 《林业资源管理》 北大核心 2018年第5期82-89,共8页 Forest Resources Management
基金 国家林业局森林资源管理司委托项目"森林立地质量评价指标及经营适应性探索"(200-621603003)
关键词 用材林 小班数据 质量评价 组合确权法 物元分析法 timber forest subcompartment data quality evaluation combination right matter-element analysis
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